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Rubert Base
Pre-trained Russian base BERT model by SberDevices team, with 178 million parameters, trained on 30GB Russian text
Downloads 29.43k
Release Time : 3/2/2022
Model Overview
Russian pre-trained Transformer language model, mainly used for masked filling tasks
Model Features
Russian language optimization
Specially pre-trained for Russian language characteristics, excelling in Russian NLP tasks
Efficient architecture
Based on BERT base architecture, with moderate parameter count and high inference efficiency
Large-scale pre-training
Pre-trained on 30GB Russian text data with strong language understanding capabilities
Model Capabilities
Text understanding
Mask filling
Context feature extraction
Use Cases
Natural Language Processing
Text auto-completion
Predict masked words or phrases in text
Text feature extraction
Provide text representations for downstream NLP tasks
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